Liu QZ, Zeng L, Sun NZ. Optimizing postoperative infection control strategies in gastrointestinal surgery via integrated disinfection, isolation measures, and risk prediction models. World J Gastrointest Surg 2025; 17(9): 108136 [DOI: 10.4240/wjgs.v17.i9.108136]
Corresponding Author of This Article
Nian-Zhe Sun, MD, PhD, Department of Orthopedics, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Kaifu District, Changsha 410008, Hunan Province, China. sunnzh201921@sina.com
Research Domain of This Article
Surgery
Article-Type of This Article
Letter to the Editor
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastrointest Surg. Sep 27, 2025; 17(9): 108136 Published online Sep 27, 2025. doi: 10.4240/wjgs.v17.i9.108136
Optimizing postoperative infection control strategies in gastrointestinal surgery via integrated disinfection, isolation measures, and risk prediction models
Qin-Zhi Liu, Lei Zeng, Nian-Zhe Sun
Qin-Zhi Liu, Lei Zeng, Nian-Zhe Sun, Department of Orthopedics, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China
Qin-Zhi Liu, Lei Zeng, Nian-Zhe Sun, National Clinical Research Center of Geriatric Disorders, Xiangya Hospital, Central South University, Changsha 410008, Hunan Province, China
Co-corresponding authors: Lei Zeng and Nian-Zhe Sun.
Author contributions: Liu QZ wrote the first draft, developed the main ideas, and led revisions; Zeng L directed the analytical framework, coordinated interdisciplinary collaborations, and supervised the interpretation of results alongside manuscript finalization; Sun NZ spearheaded the conception and design of the study and provided critical revision of the manuscript; Zeng L and Sun NZ contributed equally to this article, they are the co-corresponding authors of this manuscript; and all authors thoroughly reviewed and endorsed the final manuscript.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Open Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Nian-Zhe Sun, MD, PhD, Department of Orthopedics, Xiangya Hospital, Central South University, No. 87 Xiangya Road, Kaifu District, Changsha 410008, Hunan Province, China. sunnzh201921@sina.com
Received: April 7, 2025 Revised: May 13, 2025 Accepted: July 17, 2025 Published online: September 27, 2025 Processing time: 171 Days and 19.1 Hours
Abstract
This editorial critically evaluated the recent study by Wang et al, which systematically investigated the efficacy of perioperative disinfection and isolation measures (including preoperative povidone-iodine disinfection, intraoperative sterile barrier techniques, and postoperative intensive care) in reducing infection rates. The study further incorporated the surgical site infection risk prediction model (constructed via the least absolute shrinkage and selection operator algorithm, integrating patients' baseline characteristics, surgical indicators, and regional antibiotic-resistant bacterial data), and proposed a dynamic prevention and control system termed “disinfection protocols-predictive models–real-time monitoring”. The article highlighted that preoperative risk stratification, intraoperative personalized antibiotic selection, and postoperative multidimensional monitoring (encompassing inflammatory biomarkers, imaging, and microbiological testing) enabled the precise identification of high-risk patients and optimized intervention thresholds. Future research is deemed necessary to validate the synergistic effects of disinfection protocols and predictive models through large-scale multicenter studies, combined with advanced intraoperative rapid microbial detection technologies. This approach aims to establish standardized infection control protocols tailored for precision medicine and regional adaptability. Future research should prioritize validating the synergistic effects of disinfection protocols and predictive models via multi-center studies, while incorporating advanced rapid intraoperative microbial detection technologies to develop standardized infection prevention and control procedures. Such efforts will enhance the implementation of precise and regionally adaptive infection control strategies.
Core Tip: This article underscored the critical role of perioperative disinfection and isolation measures in mitigating postoperative infections following gastrointestinal surgeries. Furthermore, it advocated for the integration of these measures with surgical site infection risk prediction models to develop sophisticated strategies aimed at enhancing the precision and effectiveness of future postoperative infection prevention and control.
